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machine learning engineer i

<div>
 
 
 
 
 Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.
 
 
 
 
 
 
 
 
 
 Who We Are&hellip;
 
 
 
 
 
 When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the
 
 storytellers
 
 bringing our characters to life, the
 
 creators
 
 bringing them to your living rooms and the
 
 dreamers
 
 creating what&rsquo;s next&hellip;
 
 
 
 
 
 
 From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
 
 
 
 
 
 We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.
 
 
 
 
 
 To see what it&rsquo;s like to work at&nbsp;CNN, follow @WBDLife on&nbsp;
 
 Instagram
 
 &nbsp;and&nbsp;
 
 X
 
 !
 
 
 
 
 
 
 We are CNN. THE WORLD'S MOST ESSENTIAL AND ENGAGING SOURCE OF DIGITAL NEWS.
 
 
 We are in the midst of rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place.
 
 
 
 
 About CNN Digital
 
 &nbsp;
 
 
 CNN Digital is a global leader in news and information, reaching millions of users daily across web, mobile, and connected TV platforms. Our ML/AI team works at the intersection of journalism, technology, and user experience, building systems that help people discover and engage with the news that matters to them.&nbsp;
 
 
 
 Your New Role&hellip;
 
 
 
 CNN is seeking a
 
 Machine Learning Engineer I
 
 to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital platforms. You will work on&nbsp;production&nbsp;ML systems with measurable product impact, collaborating with cross-functional teams of engineers, data scientists, product managers, and editorial staff.&nbsp;
 
 
 
 Your Role Accountabilities&hellip;
 
 
 <ul>
 <li>
 
 Build and deploy full-lifecycle machine learning systems in Python for CNN digital products, including personalization, search, recommendations, and content understanding
 
 </li>
 <li>
 
 Develop and maintain production ML pipelines, including feature engineering, model training, evaluation, and serving infrastructure
 
 </li>
 <li>
 
 Implement rigorous experimentation and A/B testing frameworks to validate model performance and product impact
 
 </li>
 <li>
 
 Optimize ML systems for real-time, web-scale performance serving millions of users
 
 </li>
 <li>
 
 Partner with platform and infrastructure teams to ensure ML systems meet reliability, scalability, and performance standards
 
 </li>
 <li>
 
 Contribute to code reviews, documentation, and team knowledge sharing
 
 </li>
 </ul>
 
 
 Qualifications &amp; Experience&hellip;
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 
 Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field
 
 </li>
 <li>
 
 1+ years of professional experience building and deploying machine learning systems in production environments
 
 </li>
 <li>
 
 Strong Python programming skills and experience with machine learning frameworks (e.g., scikit-learn or similar)
 
 </li>
 <li>
 
 Experience across the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment
 
 </li>
 <li>
 
 Solid understanding of software engineering best practices, including version control, testing, and CI/CD
 
 </li>
 <li>
 
 Ability to collaborate effectively with cross-functional partners
 
 </li>
 <li>
 
 Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
 
 </li>
 </ul>
 
 
 Preferred Experience:
 
 
 <ul>
 <li>
 
 Experience working on large-scale consumer internet products (e.g., social, streaming, e-commerce, media)
 
 </li>
 <li>
 
 Hands-on experience with recommendation systems, search, NLP, or information retrieval
 
 </li>
 <li>
 
 Familiarity with data pipelines, feature stores, or embedding infrastructure
 
 </li>
 <li>
 
 Experience with experimentation platforms, A/B testing, and experimentation analysis
 
 </li>
 <li>
 
 Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)
 
 </li>
 <li>
 
 Interest in generative AI applications and/or the media and news industry
 
 </li>
 </ul>
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 
 
 Languages:
 
 Python (required), SQL
 
 </li>
 <li>
 
 
 ML Frameworks:
 
 scikit-learn or similar
 
 </li>
 <li>
 
 
 Tools:
 
 Git, MLflow or similar MLOps tools
 
 </li>
 <li>
 
 
 Data:
 
 Experience working with large datasets, distributed processing, and feature engineering
 
 </li>
 <li>
 
 
 Deployment:
 
 REST APIs, model serving, monitoring, and observability
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 How We Get Things Done&hellip;
 
 
 
 
 
 
 
 This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 www.wbd.com/guiding-principles/
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
 
 
 
 
 
 
 
 Championing Inclusion at WBD
 
 
 
 Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
 
 
 
 
 
 
 If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our
 
 accessibility page
 
 for instructions to submit your request.
 
 
 
 
 
 
 In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery&rsquo;s total compensation package for employees. Pay Range: $99,400.00 - $184,600.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
 
 
 
 
 
 
 
 
</div>

Machine Learning Engineer I

Delta Air Lines

<div><div><div><div><div>United States, Georgia, Atlanta
Information Technology
15-Jun-2026
Ref #: 32774
</div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">How you'll help us Keep Climbing (overview &amp; key responsibilities)</h3>
</div></div><div><div>At Delta Air Lines, we are continually looking to build a high performing, self-motivated team of technologists who embrace new technologies to enhance the customer and employee experience.
We are looking for an Innovation &amp; AI Engineering Intern to design and develop machine learning and AI-based products that incorporate cutting-edge technology. Just a heads up, this isn&rsquo;t a typical engineering role.
As an Innovation &amp; AI Engineering Intern at Delta, you will own projects from day 1. You will be responsible for:
<ul><li>Engaging with business stakeholders and customers to identify problem areas</li>
<li>Developing and modifying state-of-the-art ML models to build robust and holistic solutions</li>
<li>Collaborating with other engineers, strategists, and designers to think of customer experiences that can be transformed by machine learning and AI</li>
<li>Presenting project updates to leaders across multiple business units</li>
<li>Leveraging advancements in technology and brainstorming ways to incorporate them into different areas of Delta</li>
</ul></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">Benefits and Perks to Help You Keep Climbing</h3>
</div></div><div><div><ul><li>Experience travel and culture through Delta&rsquo;s unmatched flight benefits</li>
<li>Incredibly passionate, empathetic, and truly talented team members across engineering, strategy, venture, and design functions</li>
<li>Freedom of working on a small team while having the impact of a team that drives innovation forward at a huge company</li>
<li>Excitement of working on customer-facing projects that can ship within weeks</li>
<li>Offices located in Midtown in Atlanta, adjacent to Georgia Tech campus, and near Delta HQs</li>
</ul></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">What you need to succeed (minimum qualifications)</h3>
</div></div><div><div><div><ul><li>Experience developing machine learning models (e.g., neural networks, deep reinforcement learning, gradient boosted trees, etc.) using Python, TensorFlow, PyTorch, or other machine learning platforms</li>
<li>Must be actively enrolled in an undergraduate accredited college, university, or institution during the duration of the program.</li>
<li>Understanding of machine learning best practices such as training/serving models, feature engineering, and feature/model selection</li>
<li>Knowledgeable about different machine learning domains like natural language processing, computer vision, personalization and recommendation, and anomaly detection</li>
<li>Flexibility to learn and work on things outside of your comfort zone</li>
<li>You&rsquo;re self-driven, take pride in your work, and find satisfaction in building interesting things</li>
<li>You can adapt and explain a neural network to your lead engineer and to a 5-year-old</li>
<li>You embrace different perspectives and styles of thinking</li>
<li>Demonstrates that privacy is a priority when handling personal data</li>
<li>Embraces a diverse set of people, thinking and styles</li>
<li>Consistently makes safety and security, of self and others, the priority</li> 
</ul> 
</div><ul><li>Consistently prioritizes safety and security of self, others, and personal data.
</li><li>Embraces diverse people, thinking, and styles.
</li><li>Possesses a high school diploma, GED, or high school equivalency.
</li><li>Is at least 18 years of age and has authorization to work in the United States.
</li></ul></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">What will give you a competitive edge (preferred qualifications)</h3>
</div></div><div><ul><li></li></ul></div></div></div></div><div></div>

Intern, Innovation - AI Engineering (Fall 2026)

NAVA TECH LLC

Launch Your Career in Data Science. Are you passionate about data, analytics, and artificial intelligence but haven't yet had the opportunity to work as a Data Scientist? We are looking for ambitious technical professionals with a strong foundation in programming, problem-solving, and analytical thinking who are ready to transition into a Data Science career. Whether your background is in Software Development, Data Analytics, AI Engineering, Quality Assurance, Business Intelligence, or another technical field, this opportunity is designed to help you develop the skills and real-world experience needed to become a successful Data Scientist. Join our growing consulting practice and gain hands-on experience working on enterprise-level projects for Fortune 1000 organizations across industries such as Finance, Healthcare, Retail, Telecommunications, and Technology.About the RoleThis role is ideal for candidates who:<ul><li>Have a strong technical foundation</li><li>Know how to write code and solve problems</li><li>Have experience working in IT, software development, analytics, or related fields</li><li>Want to transition into Data Science</li><li>Are eager to learn Machine Learning, Artificial Intelligence, Big Data, and Cloud Technologies</li><li>Are you looking for a long-term career path with significant growth potential</li></ul>ResponsibilitiesThrough hands-on project experience and mentorship, you'll gain exposure to:<ul><li>Data Science Methodologies</li><li>Machine Learning</li><li>Predictive Analytics</li><li>Generative AI</li><li>Data Engineering Concepts</li><li>Cloud Platforms (AWS &amp; Azure)</li><li>Big Data Technologies</li><li>Enterprise Data Solutions</li><li>Advanced SQL and Python Development</li></ul>QualificationsMinimum Qualifications<ul><li>Master&rsquo;s degree in computer science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related quantitative field</li><li>OR bachelor&rsquo;s degree with at least 2 years of professional technical experience</li></ul>Required Skills<ul><li>Experience coding in Python</li><li>Strong SQL skills</li><li>Understanding of object-oriented programming concepts</li><li>Strong analytical and problem-solving abilities</li><li>Excellent communication skills</li><li>Ability to learn new technologies quickly</li></ul>Preferred Skills<ul><li>Experience with any of the following is a plus:</li><li>Data Analytics</li><li>Software Development</li><li>AI Engineering</li><li>Machine Learning</li><li>AWS</li><li>Azure</li><li>Databricks</li><li>PySpark</li><li>GitLab</li><li>Data Warehousing</li><li>Cloud Technologies</li><li>Statistical Analysis</li></ul>Pay: $35.00 - $42.00 per hourBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Health insurance</li><li>Relocation assistance</li></ul>Work Location: In person

Jr Data Scientist

Momentive Software

<div><h1 class="jobSectionHeader">Job Description
</h1>Key Responsibilities:
<ul><li>Data Analysis &amp; Insight Generation
</li></ul><ul><li><ul><li>Analyze large and complex datasets to extract meaningful insights that drive business outcomes.
</li><li>Communicate findings and recommendations through reports, dashboards, and presentations.
</li></ul></li></ul><ul><li>Data Engineering &amp; Preparation
</li></ul><ul><li><ul><li>Clean, preprocess, and transform raw data for analysis and modeling.
</li><li>Collaborate with data engineering teams to ensure data availability and quality.
</li></ul></li></ul><ul><li>Collaboration with Stakeholders
</li></ul><ul><li><ul><li>Work closely with product managers, engineers, and business leaders to understand requirements and deliver data-driven solutions.
</li><li>Translate business problems into analytical frameworks.
</li></ul></li></ul><ul><li>A/B Testing &amp; Experimentation
</li></ul><ul><li><ul><li>Design and analyze A/B tests to measure the impact of product changes and marketing campaigns.
</li><li>Provide statistical rigor in experimentation and decision-making.
</li></ul></li></ul><ul><li>Research &amp; Innovation
</li></ul><ul><li><ul><li>Stay up-to-date with the latest developments in data science, machine learning, and AI.
</li><li>Propose innovative approaches and solutions for complex problems.
</li></ul></li></ul>Other duties as assigned
Qualifications
<ul><li>Education
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
</li></ul></li><li>Experience
<ul><li>5+ years of experience in data science or a related field.
</li><li>Hands-on experience with data analysis, machine learning, and statistical modeling.
</li></ul></li><li>Technical Skills
<ul><li>Proficiency in Python , R or similar technologies for data analysis and modeling.
</li><li>Strong experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
</li><li>SQL proficiency for data extraction and transformation.
</li><li>Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Spark, Hadoop) is a plus.
</li></ul></li></ul><h1 class="jobSectionHeader">About Us
</h1>Momentive Software amplifies the impact of over 20,000 purpose-driven organizations in over 30 countries, with over $11 billion raised and 55 million members served to date. Mission-driven nonprofits and associations rely on Momentive&rsquo;s cloud-based software and services to address their most pressing challenges &ndash; from engaging their communities to simplifying operations and growing revenue. Designed to help organizations connect more, manage more, and ultimately expect more, Momentive's solutions are built with reliability at the core and strategically focus on fundraising, learning, events, careers, volunteering, accounting, and association management. Momentive partners with organizations that believe &quot;good enough&quot; is never enough &ndash; so they can bring on better outcomes for everyone they serve. Learn more at momentivesoftware.com . 
 
<h1 class="jobSectionHeader">Why Work Here?
</h1>At Momentive Software, we&rsquo;re a team of passionate problem-solvers, innovators, and volunteers who believe in using technology to make a real difference. We dream big, support each other, and take pride in creating solutions that help our customers drive meaningful change. If you&rsquo;re looking for a place where your work matters and your ideas are valued, you&rsquo;ll find it here.
Medical, Dental &amp; Vision Benefits
401(k) Savings Plan with Company Match
Flexible Planned Paid Time Off
Generous Sick Leave
Inclusive &amp; Welcoming Environment
Purpose-Driven Culture
Work-Life Balance
Commitment to Community Involvement
Employer-Paid Parental Leave
Employer-Paid Short-Term Disability
Remote Work Flexibility
 
 
Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
 
 
All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire.</div>

Senior Data Engineer

PrizePicks

<div><div>At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?</div>
The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development &amp; causal inference, to enable better &amp; more rapid decision making.
<h1 class="jobSectionHeader">
What you'll do:</h1>
<ul><li>Lead a team of data scientists, covering topics across retention and acquisition marketing</li>
<li>Oversee the development &amp; maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution</li>
<li>Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes</li>
<li>Integrate LLMs into data &amp; operations workflows, to increase throughput &amp; scale across domains</li>
<li>Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team</li>
<li>Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made</li>
<li>Collaborate with senior leadership, to align marketing data science effort with overall company &amp; marketing goals</li>
</ul><h1 class="jobSectionHeader">What you have:</h1>
<ul><li>7+ years of experience in data science &amp; analytics</li>
<li>5+ years of experience in a marketing, customer, or revenue data-related role</li>
<li>3+ years of experience managing or mentoring data scientists, analysts, or engineers</li>
<li>Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred</li>
<li>Proven experience in building and implementing production-grade machine learning models in an operations support capacity</li>
<li>Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes 
</li>
<li>Exceptional communicator, with experience presenting to senior leadership</li>
<li>Ability to influence cross-functional partners (Marketing, Finance, Product)</li>
<li>Comfortable balancing hands-on work with team leadership</li>
<li>Technical Skills
<ul><li>Strong statistical proficiency</li>
<li>Python for statistical computing, model development, and data visualization</li>
<li>Advanced SQL</li>
</ul></li></ul><h1 class="jobSectionHeader">Where you'll live:</h1>
<ul><li>While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote</li>
</ul><h1 class="jobSectionHeader">Working at PrizePicks:</h1>

The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.

This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 5/11/2026

First Extension: 6/11/2026<div><h1 class="jobSectionHeader"> 
Benefits you'll receive:</h1>

In addition to your great compensation package, full-time employees will be eligible for the following perks:
<ul>
<li>Company-subsidized medical, dental, &amp; vision plans</li>
<li>401(k) plan with company match</li>
<li>Annual bonus</li>
<li>Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)</li>
<li>Generous paid leave programs, including 16-week paid parental leave and disability benefits</li>
<li>Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked</li>
<li>Company-wide in-person events and team outings</li>
<li>Lifestyle enhancement program</li>
<li>Company equipment provided (Windows &amp; Mac options)</li>
<li>Annual performance reviews with opportunities for growth and career development</li>
</ul>
You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</div></div>

Senior Data Science Manager - Marketing Science

The Home Depot

Position Purpose: The Software Engineer II is responsible for independently developing and assisting in the design of a product that our customers and associates love. As a Software Engineer II, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineer IIs may be involved in configuration, security, resilience, performance tuning and production monitoring. Key Responsibilities: 60% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions; Documents, reviews and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively 20% Learning - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems 20% Plans and Aligns - Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives Direct Manager/Direct Reports: This position reports to Software Engineer Manager This position has 0 Direct Reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 3-5 years of relevant work experience Experience with Java Experience with GCP Experience in writing SQL queries against a relational database Experience in version control systems Experience in front end technology such as HTML, CSS, and Javascript/Typescript frameworks Experience in source code version control Experience in Relational or noSQL database technology Experience in cloud computing techniques Experience in CI/CD tools Experience in microservice-based architecture Experience with modern debugging and root cause analysis techniques Exposure to security frameworks for user and services authorization and authentication Exposure to creating and executing unit, functional, destructive and performance tests Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Minimum Years of Work Experience: 3 Competencies: Global Perspective Manages Ambiguity Nimble Learning Self-Development Collaborates Cultivates Innovation Situational Adaptability Communicates Effectively Drives Results Interpersonal Savvy

Software Engineer II (Remote)

Position Purpose: As a Staff Software Engineer, you will be part of the Galaxy team, the team behind THD's internal developer portal, building the tools and products that thousands of THD developers rely on to get their work done. Our work spans the full platform stack and sits at the foundation of how engineering gets done across the enterprise. Galaxy doesn't just build for developers, we also enable other teams to build their own tools on top of the platform, creating a self-service tool where developers across THD can get what they need, when they need it. The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. Key Responsibilities: 50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes a broad view when approaching issues; using a global lens; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances 10% Learns and Grows - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems 20% Plans and Aligns - Creates new and better ways for the organization to be successful; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Works the Product Team to ensure user stories are developer ready, easy to understand and testable; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people; Adapts approach and demeanor in real time to match the shifting demands of different situations 20% Supports and Enables - Fields questions from product and engineering teams; Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions; Notes gaps on the team and provides suggestions for changes to make the team more productive Direct Manager/Direct Reports: This position typically reports to Software Engineer Manager or Sr. Manager This position typically has 0 Direct Reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 3-5 years of relevant work experience Extensive experience with Go, React/node.js, GCP (google suite of products) Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Global Perspective Manages Ambiguity Nimble Learning Self-Development Collaborates Cultivates Innovation Situational Adaptability Communicates Effectively Drives Results Interpersonal Savvy Apply End Date: 07/17/2026

Staff Software Engineer (Remote)

Explore 78+ Machine learning engineer i in Atlanta this July. Find roles across top companies and apply now to boost your career.